
***Table 3***
 balancetable choicecrit High_nat usgov_high usp_high ideo_high socmed newsfreq_high newsint senatecorrect male city age_high han educ_high urban_huk using "/Users/table 3.tex", vce(robust) pval tabulary

***Figure 2***
reg centsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store J1
reg centsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store K1
reg locsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store L1
reg locsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store M1
reg chinabet_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store N1
reg chinabet_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store O1
reg chinademoc_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store P1
reg chinademoc_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store Q1

reg centcovsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store R1
reg centcovsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store S1
reg wuhancovsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store T1
reg wuhancovsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store V1
reg uscovsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store X1
reg uscovsat_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store Y1

reg newschina_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store A1
reg newschina_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store B1
reg indchina_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store C1
reg indchina_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store D1
reg unchina_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store E1
reg unchina_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store F1
reg unus_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store G1
reg unus_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store H1

coefplot (R1, rename(US_treat = "Central gov COVID") mcolor(black) ciopts(color(black)) offset(0.05)) (S1, rename(US_treat = "Central gov COVID") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)) (T1, rename(US_treat = "Wuhan gov COVID") mcolor(black) ciopts(color(black)) offset(0.05)) (V1, rename(US_treat = "Wuhan gov COVID") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)) (J1, rename(US_treat = "Central gov general") mcolor(black) ciopts(color(black)) offset(0.05)) (K1, rename(US_treat = "Central gov general") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)) (L1, rename(US_treat = "Local gov general") mcolor(black) ciopts(color(black)) offset(0.05)) (M1, rename(US_treat = "Local gov general") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)) (N1, rename(US_treat = "China better") mcolor(black) ciopts(color(black)) offset(0.05)) (O1, rename(US_treat = "China better") mcolor(gs10) ciopts(color(gs10)) offset(-0.05))  (P1, rename(US_treat = "China democratic") mcolor(black) ciopts(color(black)) offset(0.05)) (Q1, rename(US_treat = "China democratic") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)) (A1, rename(US_treat = "News inquiry China") mcolor(black) ciopts(color(black)) offset(0.05)) (B1, rename(US_treat = "News inquiry China") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)) (C1, rename(US_treat = "Civil inquiry China") mcolor(black) ciopts(color(black)) offset(0.05)) (D1, rename(US_treat = "Civil inquiry China") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)) (E1, rename(US_treat = "UN inquiry China") mcolor(black) ciopts(color(black)) offset(0.05))  (F1, rename(US_treat = "UN inquiry China") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)) (G1, rename(US_treat = "Inquiry USA") mcolor(black) ciopts(color(black)) offset(0.05)) (H1, rename(US_treat = "inquiry USA") mcolor(gs10) ciopts(color(gs10)) offset(-0.05)), keep(US_treat) coeflabel(newschina_01 = "News inquiry China" indchina_01 = "Civil inquiry China" unchina_01  = "UN inquiry China"  unus_01  = "Inquiry USA" centcovsat_01  = "Central gov COVID" wuhancovsat_01  = "Wuhan gov COVID" centsat_01  = "Central gov" locsat_01  = "Local gov" chinabet_01  = "China better" chinademoc_01 = "Democratic") xline(0) levels(90) offset(0)  legend(order( 4 "Chose criticism" 2 "Did not choose criticism"))


***Figure 3***
reg COVID_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store B1
reg COVID_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store C1
reg country_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store D1
reg country_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology  nationalism senatecorrect  i.region if choicecrit==0, r
estimates store E1
reg ch_invest_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store F1
reg ch_invest_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==0, r
estimates store G1

coefplot (B1, rename(US_treat = "COVID response") mcolor(gs11) ciopts(color(gs11)) offset(0.05)) (C1, rename(US_treat = "COVID response") mcolor(black) ciopts(color(gs11)) offset(-0.05)) (D1, rename(US_treat = "Country/government") mcolor(gs11) ciopts(color(gs11)) offset(0.05)) (E1, rename(US_treat = "Country/government") mcolor(black) ciopts(color(black)) offset(-0.05)) (F1, rename(US_treat = "China inquiry") mcolor(gs11) ciopts(color(gs11)) offset(0.05)) (G1, rename(US_treat = "China Inquiry") mcolor(black) ciopts(color(black)) offset(-0.05)) , keep(US_treat) coeflabel(COVID_01 = "COVID response" country_01 = "Country/government" ch_invest_01  = "China inquiry")  xline(0) levels(95) offset(0)  legend(order(2 "Chose criticism" 4 "Did not choose criticism"))


***Figure 4***
reg COVID_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store B1
reg COVID_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region, r
estimates store C1
reg country_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store D1
reg country_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region, r
estimates store E1
reg ch_invest_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region if choicecrit==1, r
estimates store F1
reg ch_invest_01 US_treat Sex city Age Eth Educ Hukou socmed newsfreq newsint USgov USpeople ideology nationalism senatecorrect  i.region, r
estimates store G1

coefplot (B1, rename(US_treat = "COVID response") mcolor(gs11) ciopts(color(gs11)) offset(0.05)) (C1, rename(US_treat = "COVID response") mcolor(black) ciopts(color(black)) offset(-0.05)) (D1, rename(US_treat = "Country/government") mcolor(gs11) ciopts(color(gs11)) offset(0.05)) (E1, rename(US_treat = "Country/government") mcolor(black) ciopts(color(black)) offset(-0.05)) (F1, rename(US_treat = "China inquiry") mcolor(gs11) ciopts(color(gs11)) offset(0.05)) (G1, rename(US_treat = "China inquiry") mcolor(black) ciopts(color(black)) offset(-0.05)) , keep(US_treat) coeflabel(COVID_01 = "COVID response" country_01 = "Country/government" ch_invest_01  = "China inquiry")  xline(0) levels(90) offset(0)  legend(order(2 "ACTE for those who chose criticism" 4 "ATE for all respondents"))
